Dynatrace

NOVEMBER 11, 2022

More organizations are adopting a hybrid IT environment, with data center and virtualized components. However, today’s IT teams are stretched thin, with little time to firefight issues with deployment, integration, and data center management. That’s where hyperconverged infrastructure, or HCI, comes in.

Infrastructure 191

Infrastructure Storage Virtualization Network 191

Dynatrace

JUNE 29, 2022

Hybrid cloud architecture is a computing environment that shares data and applications on a combination of public clouds and on-premises private clouds. A hybrid cloud, however, combines public infrastructure and services with on-premises resources or a private data center to create a flexible, interconnected IT environment.

Infrastructure 172

Infrastructure Cloud Azure AWS 172

Scalegrid

FEBRUARY 8, 2024

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. Understanding distributed storage is imperative as data volumes and the need for robust storage solutions rise.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

DECEMBER 8, 2022

DevOps platform engineers are responsible for cloud platform availability and performance, as well as the efficiency of virtual bandwidth, routers, switches, virtual private networks, firewalls, and network management. Microsoft Azure. ” What does a DevOps platform engineer do? Configuration management.

DevOps 180

DevOps Engineering Testing Open Source 180

Scalegrid

JANUARY 12, 2024

Key Takeaways A cloud workload encompasses any application or service running on a cloud infrastructure, facilitating tasks ranging from basic functions to advanced data analysis with the help of resources like databases, collaboration tools, and disaster recovery systems. This need is often referred to as “workload optimization.”

Cloud 130

Cloud Virtualization Storage Efficiency 130

Scalegrid

MARCH 14, 2024

Implementing a hybrid cloud solution involves careful decision-making regarding application and data placement, migration strategies, and choosing compatible cloud service providers while ensuring seamless integration and addressing security and compliance challenges. We will examine each of these elements in more detail.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

DZone

APRIL 26, 2019

In the era of Digital Transformation (DX) the IT landscape has expanded to environments that rely extensively on virtualization, hyper-converged infrastructure (HCI), and cloud computing. As a result, the number of servers and the quantity of traffic have been exploding exponentially.

Azure 145

Azure Traffic Virtualization Performance 145

Dynatrace

MARCH 24, 2023

But managing the deployment, modification, networking, and scaling of multiple containers can quickly outstrip the capabilities of development and operations teams. This orchestration includes provisioning, scheduling, networking, ensuring availability, and monitoring container lifecycles. How does container orchestration work?

Infrastructure 176

Infrastructure Open Source Operating System Cloud 176

SQL Performance

APRIL 27, 2020

Azure SQL Database is Microsoft's database-as-a-service offering that provides a tremendous amount of flexibility. Microsoft is continually working on improving their products and Azure SQL Database is no different. Microsoft is continually working on improving their products and Azure SQL Database is no different. GB per vCore.

Azure 55

Azure Database Serverless Hardware 55

Dynatrace

AUGUST 24, 2020

To make this possible, the application code should be instrumented with telemetry data for deep insights, including: Metrics to find out how the behavior of a system has changed over time. Logs represent event data in plain-text, structured or binary format. Dynatrace VMware and virtualization documentation .

Analytics 231

Analytics Infrastructure AWS Operating System 231

Scalegrid

OCTOBER 2, 2019

October 2, 2019 – ScaleGrid, a rapidly growing leader in the Database-as-a-Service (DBaaS) space, has just launched their new fully managed Redis on Azure service. The demand for Redis is skyrocketing across dozens of use cases, particularly for cache, queues, geospatial data, and high speed transactions. PALO ALTO, Calif.,

Azure 37

Azure Cloud Open Source Virtualization 37

Dynatrace

NOVEMBER 12, 2021

With traditional APM you gathered metrics, logs, or even some transactional data. Instrumenting and collecting data using the old approach is not sustainable for this new environment, and the data fidelity of older APM technologies is not fine enough to adequately monitor and analyze these highly complex systems.

Cloud 164

Cloud Monitoring Network Azure 164

Dynatrace

NOVEMBER 23, 2020

Nevertheless, there are related components and processes, for example, virtualization infrastructure and storage systems (see image below), that can lead to problems in your Kubernetes infrastructure. That’s why developers and SRE’s rely on telemetry data (i.e., Logs can also be used to represent event data.

Virtualization 158

Virtualization Infrastructure Monitoring Cloud 158

Scalegrid

JANUARY 8, 2024

By analyzing real-time data, AI-based models can: Adjust the allocation of resources in response to demand Boost business performance Reduce unnecessary expenditures Lead to significant cost savings Improve scalability Operational Efficiency through Automation Automation is a significant way AI enhances cloud operations.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Dynatrace

MAY 31, 2021

Kubernetes (aka K8s) is an open-source platform used to run and manage containerized applications and services on clusters of physical or virtual machines across on-premises, public, private, and hybrid clouds. This virtualization makes it possible to efficiently deploy and securely run a container independently of the hosting infrastructure.

Virtualization 132

Virtualization DevOps Infrastructure Cloud 132

Dynatrace

JULY 10, 2019

Just a single OneAgent per host is required to collect all relevant monitoring data, all the way down to specific lines of code. So, to pick the best way to extend your monitoring, here are a few things you should consider: What kind of data do you want to incorporate? OneAgent & cloud metrics. OneAgent & application traces.

Java 132

Java Best Practices Metrics Azure 132

Dynatrace

AUGUST 24, 2020

To make this possible, the application code should be instrumented with telemetry data for deep insights , includin g: . Logs represent event data in plain-text, structured or binary format . This type of data can be extended by adding additional meta-information, like real user experience data and topology details. .

Analytics 134

Analytics Infrastructure AWS Operating System 134

Dynatrace

JUNE 1, 2021

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Causes can run the gamut — from coding errors to database slowdowns to hosting or network performance issues. Cloud-native apps also produce many kinds of data.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Dynatrace

JULY 13, 2020

These packages, known as container images, are immutable and because they abstract the environment on which they run, they ’re portable and can be moved from one environment to another , regardless of what platform it’s running on, i.e. a physical or virtual machine, on-premise, data center , or in the public cloud. .

Google 131

Google Ecommerce DevOps Cloud 131

Dynatrace

JULY 13, 2020

These packages, known as container images, are immutable and because they abstract the environment on which they run, they ’re portable and can be moved from one environment to another , regardless of what platform it’s running on, i.e. a physical or virtual machine, on-premise, data center , or in the public cloud. .

Google 130

Google Ecommerce DevOps Cloud 130

High Scalability

OCTOBER 3, 2019

ScaleGrid, a rapidly growing leader in the Database-as-a-Service (DBaaS) space, has just launched their new fully managed Redis on Azure service. The demand for Redis is skyrocketing across dozens of use cases, particularly for cache, queues, geospatial data, and high speed transactions.

Azure 23

Azure Cloud Open Source Cache 23

Dynatrace

APRIL 17, 2019

In a sea of virtualized layers of abstraction, shared services, and dependencies, the cloud has become increasingly complex. Our platform needed a full-stack approach, including virtual network infrastructure, containers, applications, and users. We knew APM was critical but no longer enough. We needed to go beyond APM.

Innovation 127

Innovation Virtualization Cloud Azure 127

O'Reilly

MAY 19, 2020

A lot happened between January and the first week of March, when we got around to analyzing our survey data. AWS is far and away the cloud leader, followed by Azure (at more than half of share) and Google Cloud. But most Azure and GCP users also use AWS; the reverse isn’t necessarily true. All told, we received 1,283 responses.

Cloud 141

Cloud Serverless AWS Architecture 141

Brendan Gregg

FEBRUARY 28, 2023

Titus, the Netflix container management platform, is now open source,” [link] Apr 2018 - [Cutress 19] Dr. [link] 2021 - [Trader 21] Tiffany Trader, “Cerebras Second-Gen 7nm Wafer Scale Engine Doubles AI Performance Over First-Gen Chip ,” [link] Apr 2021 - [Ghigoff 21] Yoann Ghigoff, et al., "BMC:

Performance 110

Performance Latency Cache Virtualization 110

The Morning Paper

MARCH 8, 2020

This paper describes the design decisions behind the Snowflake cloud-based data warehouse. Traditional data warehouse systems are largely based on shared-nothing designs: persistent data is partitioned across a set of nodes, each responsible for its local data. From shared-nothing to disaggregation.

Storage 112

Storage Engineering Cache Serverless 112

ScaleOut Software

JULY 19, 2021

Incoming data is saved into data storage (historian database or log store) for query by operational managers who must attempt to find the highest priority issues that require their attention. Unlike manual or automatic log queries, in-memory computing can continuously run analytics code on all incoming data and instantly find issues.

IoT 78

IoT Analytics Big Data Architecture 78

Brendan Gregg

FEBRUARY 28, 2023

Titus, the Netflix container management platform, is now open source,” [link] , Apr 2018 [Cutress 19] Dr. [link] , 2021 [Trader 21] Tiffany Trader, “Cerebras Second-Gen 7nm Wafer Scale Engine Doubles AI Performance Over First-Gen Chip ,” [link] , Apr 2021 [Ghigoff 21] Yoann Ghigoff, et al.,

Performance 52

Performance Latency Cache Virtualization 52

Randon ASCII

JULY 11, 2022

I’d been testing on a virtual machine in a data center that I had access to, purely because this machine has an internet connection that runs at over 2 Gbps. But I’d also recorded an ETW trace to understand where CPU time in the Network Service utility process was going, and I’d noticed some time being spent in ntoskrnl.exe!KiPageFault:

Cache 105

Cache Energy Google Processing 105

Smashing Magazine

NOVEMBER 8, 2018

Sharing Data Among Multiple Servers Through AWS S3. Sharing Data Among Multiple Servers Through AWS S3. Note: It makes sense to use S3 as the cloud object storage solution only if we also use Amazon’s service for virtual servers on the cloud, EC2 , for running the application. Leonardo Losoviz. 2018-11-08T12:30:30+01:00.

AWS 45

AWS Servers Storage Cloud 45

Adrian Cockcroft

APRIL 5, 2023

by Adrian Cockcroft Three windows lined up to let the light in through a door in the Madrassa, Marrakech — Picture by Adrian The existing approaches to carbon measurement provide delayed data for carbon accounting that is more akin to billing information in the way it is structured and queried.

Energy 52

Energy Metrics Cloud Operating System 52

VoltDB

JUNE 1, 2017

It was – like the hypothetical movie I describe above – more than a little bit odd, as you could leave a session discussing ever more abstract layers of virtualization and walk into one where they emphasized the critical importance of pinning a network interface to a specific VM for optimal performance.

Hardware 56

Hardware Latency Virtualization Cloud 56

VoltDB

JUNE 1, 2017

It was – like the hypothetical movie I describe above – more than a little bit odd, as you could leave a session discussing ever more abstract layers of virtualization and walk into one where they emphasized the critical importance of pinning a network interface to a specific VM for optimal performance.

Hardware 40

Hardware Latency Virtualization Cloud 40

SQL Server According to Bob

JULY 13, 2016

Over the years this product has grown into a complete data platform including Reporting Services, Analysis Services, Integration Services, more tools, Replication, R Services, and much more. So the initial time to run this all depends on your network speed. Bob Ward Principal PM Architect Data Group, Tiger Team.

Servers 40

Servers Media Engineering Virtualization 40

O'Reilly

FEBRUARY 18, 2020

It’s also the data source for our annual usage study, which examines the most-used topics and the top search terms. [1]. This year’s growth in Python usage was buoyed by its increasing popularity among data scientists and machine learning (ML) and artificial intelligence (AI) engineers. A drill-down into data, AI, and ML topics.

Software Architecture 137

Software Architecture DevOps Data Engineering Architecture 137

The Symphonia

DECEMBER 6, 2017

Correspondingly, 3GB functions should see a 2x CPU performance improvement over 1.5GB Lambdas, but this is through doubling the number of cores the function has access to, rather than double the virtualized time-slices. This makes for a very untidy monitoring tab in the Lambda console, but we’ll deal with that for the extra data.

Serverless 40

Serverless Lambda AWS Traffic 40

SQL Server According to Bob

FEBRUARY 13, 2020

​​​​ Another example would be backup to Azure Storage using the rest interface to read and ​​ write data to/from Azure Blob Storage. The introduction of VDI also allowed for the proper split mirroring and snapshot backups such as in Microsoft Data Protection manager (DPM.)

Servers 40

Servers Availability Transportation Database 40

O'Reilly

NOVEMBER 28, 2023

AI users say that AI programming (66%) and data analysis (59%) are the most needed skills. Given the cost of equipping a data center with high-end GPUs, they probably won’t attempt to build their own infrastructure. Few nonusers (2%) report that lack of data or data quality is an issue, and only 1.3%

Open Source 112

Open Source Artificial Intelligence Google Infrastructure 112